Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Calculate Variance with Python | Variance and Standard Deviation
Learning Statistics with Python

Calculate Variance with PythonCalculate Variance with Python

Calculating Variance with NumPy

In NumPy, you need to input the sequence of values (in our case, the column of the dataset) into the np.var() function, like this: np.var(df['work_year']).

Calculating Variance with pandas

In pandas, you should use the .var() method on the sequence of values (in our case, the column of the dataset), like this: df['work_year'].var().

In both cases, the results are almost the same. The differences are due to different denominators: N in NumPy, and N-1 in pandas. Check it now!

¿Todo estuvo claro?

Sección 3. Capítulo 3
course content

Contenido del Curso

Learning Statistics with Python

1. Basic Concepts

Sample vs PopulationTypes of StatisticsTypes of DataMean ValueMedian ValueMedian Value of the Even Number of ValuesMean or MedianMode ValueDescriptive Statistics Quiz

2. Mean, Median and Mode with Python

Examine the DatasetCalculating Mean and Median Values with PythonStatistics with pandasCalculate the Mean and Median Salary

3. Variance and Standard Deviation

Population VarianceSample VarianceCalculate Variance with PythonStandard deviationStandard Deviation with PythonCalculating Variance and Standard Deviation

4. Covariance vs Correlation

CovarianceCorrelationSelect All Possible ValuesCalculate Covariance and Correlation

5. Confidence Interval

Explore the Data SetConfidence IntervalCalculating Confidence Interval with PythonConfidence Interval Width QuizCalculate 95% Confidence IntervalAdvanced Confidence Interval Calculation with PythonMatch the Functions

6. Statistical Testing

What is t-testHypothesest-test MathematicallyOne-Tailed And Two-Tailed Testt-test AssumptionsPerforming a t-test in PythonConduct a t-testPaired t-test

Learning Statistics with Python

Calculate Variance with PythonCalculate Variance with Python

Calculating Variance with NumPy

In NumPy, you need to input the sequence of values (in our case, the column of the dataset) into the np.var() function, like this: np.var(df['work_year']).

Calculating Variance with pandas

In pandas, you should use the .var() method on the sequence of values (in our case, the column of the dataset), like this: df['work_year'].var().

In both cases, the results are almost the same. The differences are due to different denominators: N in NumPy, and N-1 in pandas. Check it now!

¿Todo estuvo claro?

Sección 3. Capítulo 3
some-alt